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Multivariate Discrimination in Quantum Target Detection

Authors :
Paul Hockett
Andrei Nomerotski
Yingwen Zhang
Benjamin J. Sussman
Peter Svihra
Steven Ferrante
Duncan G. England
Source :
Svihra, P, Zhang, Y, Hockett, P, Ferrante, S, Sussman, B, England, D & Nomerotski, A 2020, ' Multivariate discrimination in quantum target detection ', Applied Physics Letters, vol. 117, no. 4 . https://doi.org/10.1063/5.0012429
Publication Year :
2020

Abstract

We describe a simple multivariate technique of likelihood ratios for improved discrimination of signal and background in multi-dimensional quantum target detection. The technique combines two independent variables, time difference and summed energy, of a photon pair from the spontaneous parametric down-conversion source into an optimal discriminant. The discriminant performance was studied in experimental data and in Monte-Carlo modelling with clear improvement shown compared to previous techniques. As novel detectors become available, we expect this type of multivariate analysis to become increasingly important in multi-dimensional quantum optics.<br />The following article has been published by Applied Physics Letters. It can be found at https://aip.scitation.org/doi/10.1063/5.0012429

Details

Language :
English
Database :
OpenAIRE
Journal :
Svihra, P, Zhang, Y, Hockett, P, Ferrante, S, Sussman, B, England, D & Nomerotski, A 2020, ' Multivariate discrimination in quantum target detection ', Applied Physics Letters, vol. 117, no. 4 . https://doi.org/10.1063/5.0012429
Accession number :
edsair.doi.dedup.....5066961a294716911112aec44fb7905d
Full Text :
https://doi.org/10.1063/5.0012429